Summary
Tabrez Mohammad is a Senior Bioinformatics Scientist in South San Francisco with a PhD in Computational Biology and over 20 years of research experience spanning academia and industry. He specializes in cancer genomics, protein structure prediction, and machine learning, and has a strong track record developing computational tools to analyze diverse genomics and proteomics datasets. Currently at AbbVie, he brings both hands-on analysis and project leadership from prior roles as a research scientist and long-term postdoc at UTHSCSA. Tabrez has published in major journals, mentored students and clinical fellows, and consistently translates complex biological questions into practical computational solutions. He combines deep domain expertise with product-minded thinking, enabling reproducible pipelines that support translational cancer research. An often-overlooked strength is his sustained commitment to training — he has guided numerous trainees through computational biology workflows, amplifying his impact beyond his own publications.
8 years of coding experience
1 year of employment as a software developer
Master of Science (M.Sc.), Biotechnology, Master of Science (M.Sc.), Biotechnology at Aligarh Muslim University
Doctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at Centre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad, India
English, Urdu, Hindi, Arabic